Chee Peng Lim

According to our database1, Chee Peng Lim authored at least 229 papers between 1995 and 2019.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2019
Increasing Motion Fidelity in Driving Simulators Using a Fuzzy-Based Washout Filter.
IEEE Trans. Intelligent Vehicles, 2019

Survey of Fuzzy Min-Max Neural Network for Pattern Classification Variants and Applications.
IEEE Trans. Fuzzy Systems, 2019

Observer-Based $\mathcal{H}_{\infty }$ Fault-Tolerant Control for Linear Systems With Sensor and Actuator Faults.
IEEE Systems Journal, 2019

A reinforced fuzzy ARTMAP model for data classification.
Int. J. Machine Learning & Cybernetics, 2019

Application of an evolutionary algorithm-based ensemble model to job-shop scheduling.
J. Intelligent Manufacturing, 2019

A scalarization-based dominance evolutionary algorithm for many-objective optimization.
Inf. Sci., 2019

A hybrid model of fuzzy min-max and brain storm optimization for feature selection and data classification.
Neurocomputing, 2019

Complex Deep Learning and Evolutionary Computing Models in Computer Vision.
Complexity, 2019

Feature selection based on brain storm optimization for data classification.
Appl. Soft Comput., 2019

Stability and pinning synchronization analysis of fractional order delayed Cohen-Grossberg neural networks with discontinuous activations.
Applied Mathematics and Computation, 2019

Evolving Ensemble Models for Image Segmentation Using Enhanced Particle Swarm Optimization.
IEEE Access, 2019

A Critical Review on Selected Fuzzy Min-Max Neural Networks and Their Significance and Challenges in Pattern Classification.
IEEE Access, 2019

Optimization of the Milling Parameters of a Robotic-based Bone Milling System.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

2018
Synchronization of an Inertial Neural Network With Time-Varying Delays and Its Application to Secure Communication.
IEEE Trans. Neural Netw. Learning Syst., 2018

Robust Vehicle Detection in Aerial Images Using Bag-of-Words and Orientation Aware Scanning.
IEEE Trans. Geoscience and Remote Sensing, 2018

On Modeling of Data-Driven Monotone Zero-Order TSK Fuzzy Inference Systems Using a System Identification Framework.
IEEE Trans. Fuzzy Systems, 2018

Intelligent skin cancer detection using enhanced particle swarm optimization.
Knowl.-Based Syst., 2018

A scattering and repulsive swarm intelligence algorithm for solving global optimization problems.
Knowl.-Based Syst., 2018

A genetic algorithm-based nonlinear scaling method for optimal motion cueing algorithm in driving simulator.
J. Systems & Control Engineering, 2018

Network-based synchronization of T-S fuzzy chaotic systems with asynchronous samplings.
J. Franklin Institute, 2018

Automatic design of hyper-heuristic based on reinforcement learning.
Inf. Sci., 2018

Improving the Fuzzy Min-Max neural network performance with an ensemble of clustering trees.
Neurocomputing, 2018

On the Monotonicity Property of the TSK Fuzzy Inference System: The Necessity of the Sufficient Conditions and the Monotonicity Test.
Int. J. Fuzzy Syst., 2018

Classifier ensemble reduction using a modified firefly algorithm: An empirical evaluation.
Expert Syst. Appl., 2018

Feature selection using firefly optimization for classification and regression models.
Decision Support Systems, 2018

Case-control comparison brain lesion segmentation for early infarct detection.
Comp. Med. Imag. and Graph., 2018

A hybrid FAM-CART model for online data classification.
Computational Intelligence, 2018

A dynamic fuzzy-based dance mechanism for the bee colony optimization algorithm.
Computational Intelligence, 2018

An ensemble of intelligent water drop algorithm for feature selection optimization problem.
Appl. Soft Comput., 2018

Application of a Genetic-Fuzzy FMEA to Rainfed Lowland Rice Production in Sarawak: Environmental, Health, and Safety Perspectives.
IEEE Access, 2018

Credit Card Fraud Detection Using AdaBoost and Majority Voting.
IEEE Access, 2018

Classification of Multi-Class BCI Data by Common Spatial Pattern and Fuzzy System.
IEEE Access, 2018

Multi-objective job shop scheduling using i-NSGA-III.
Proceedings of the 2018 Annual IEEE International Systems Conference, 2018

Evaluation of the Path Tracking Performance of Autonomous Vehicles Using the Universal Motion Simulator.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Discriminative Clustering of High-Dimensional Data Using Generative Modeling.
Proceedings of the IEEE 61st International Midwest Symposium on Circuits and Systems, 2018

3D Hand Pose Estimation using Simulation and Partial-Supervision with a Shared Latent Space.
Proceedings of the British Machine Vision Conference 2018, 2018

2017
Robust Optimal Motion Cueing Algorithm Based on the Linear Quadratic Regulator Method and a Genetic Algorithm.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017

Dynamical Analysis of the Hindmarsh-Rose Neuron With Time Delays.
IEEE Trans. Neural Netw. Learning Syst., 2017

A Micro-GA Embedded PSO Feature Selection Approach to Intelligent Facial Emotion Recognition.
IEEE Trans. Cybernetics, 2017

An Analytical Interval Fuzzy Inference System for Risk Evaluation and Prioritization in Failure Mode and Effect Analysis.
IEEE Systems Journal, 2017

A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization.
Neural Processing Letters, 2017

A new hyperbox selection rule and a pruning strategy for the enhanced fuzzy min-max neural network.
Neural Networks, 2017

Reducing the complexity of an adaptive radial basis function network with a histogram algorithm.
Neural Computing and Applications, 2017

Robust stochastic sampled-data control for offshore steel jacket platforms with non-linear perturbations.
IMA J. Math. Control & Information, 2017

Classification of transcranial Doppler signals using individual and ensemble recurrent neural networks.
Neurocomputing, 2017

Data driven modelling based on Recurrent Interval-Valued Metacognitive Scaffolding Fuzzy Neural Network.
Neurocomputing, 2017

Neutral-type of delayed inertial neural networks and their stability analysis using the LMI Approach.
Neurocomputing, 2017

pClass+: A Novel Evolving Semi-Supervised Classifier.
Int. J. Fuzzy Syst., 2017

A new PSO-based approach to fire flame detection using K-Medoids clustering.
Expert Syst. Appl., 2017

Medical image analysis using wavelet transform and deep belief networks.
Expert Syst. Appl., 2017

A lightweight QRS detector for single lead ECG signals using a max-min difference algorithm.
Computer Methods and Programs in Biomedicine, 2017

Intelligent leukaemia diagnosis with bare-bones PSO based feature optimization.
Appl. Soft Comput., 2017

A Q-learning-based multi-agent system for data classification.
Appl. Soft Comput., 2017

Improving the Fuzzy Min-Max neural network with a K-nearest hyperbox expansion rule for pattern classification.
Appl. Soft Comput., 2017

A new decomposition-based evolutionary framework for many-objective optimization.
Proceedings of the 2017 Annual IEEE International Systems Conference, 2017

An artificial bee colony algorithm with a modified choice function for the Traveling Salesman Problem.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

A randomized neural network for data streams.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

A Swarm Optimization-Based Kmedoids Clustering Technique for Extracting Melanoma Cancer Features.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Monotone data samples do not always produce monotone fuzzy if-then rules: Learning with ad hoc and system identification methods.
Proceedings of the 2017 IEEE International Conference on Fuzzy Systems, 2017

2016
Power Quality Analysis Using a Hybrid Model of the Fuzzy Min-Max Neural Network and Clustering Tree.
IEEE Trans. Neural Netw. Learning Syst., 2016

Classification of Implantable Rotary Blood Pump States With Class Noise.
IEEE J. Biomedical and Health Informatics, 2016

Monotone Fuzzy Rule Relabeling for the Zero-Order TSK Fuzzy Inference System.
IEEE Trans. Fuzzy Systems, 2016

A memetic-based fuzzy support vector machine model and its application to license plate recognition.
Memetic Computing, 2016

Intelligent facial emotion recognition using moth-firefly optimization.
Knowl.-Based Syst., 2016

Motor fault detection and diagnosis using a hybrid FMM-CART model with online learning.
J. Intelligent Manufacturing, 2016

Synchronization of discrete-time Markovian jump complex dynamical networks with random delays via non-fragile control.
J. Franklin Institute, 2016

A new method to rank fuzzy numbers using Dempster-Shafer theory with fuzzy targets.
Inf. Sci., 2016

An incremental meta-cognitive-based scaffolding fuzzy neural network.
Neurocomputing, 2016

A hybrid model of fuzzy ARTMAP and genetic algorithm for data classification and rule extraction.
Expert Syst. Appl., 2016

A new Reinforcement Learning-based Memetic Particle Swarm Optimizer.
Appl. Soft Comput., 2016

A perceptual computing-based method to prioritize failure modes in failure mode and effect analysis and its application to edible bird nest farming.
Appl. Soft Comput., 2016

Improved NSGA-III using neighborhood information and scalarization.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Particle Swarm Optimization-based washout filter for improving simulator motion fidelity.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016

A Wavelet Deep Belief Network-Based Classifier for Medical Images.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Multi-expert decision-making with incomplete and noisy fuzzy rules and the monotone test.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

2015
A New Two-Stage Fuzzy Inference System-Based Approach to Prioritize Failures in Failure Mode and Effect Analysis.
IEEE Trans. Reliability, 2015

An Enhanced Fuzzy Min-Max Neural Network for Pattern Classification.
IEEE Trans. Neural Netw. Learning Syst., 2015

Patient admission prediction using a pruned fuzzy min-max neural network with rule extraction.
Neural Computing and Applications, 2015

A clustering-based failure mode and effect analysis model and its application to the edible bird nest industry.
Neural Computing and Applications, 2015

A hybrid FAM-CART model and its application to medical data classification.
Neural Computing and Applications, 2015

Special issue: advances in intelligent data processing and analysis (part II).
Neural Computing and Applications, 2015

Guest editorial: Special issue on advances in intelligent data processing and analysis.
Neural Computing and Applications, 2015

An ensemble of intelligent water drop algorithms and its application to optimization problems.
Inf. Sci., 2015

Classification of electrocardiogram and auscultatory blood pressure signals using machine learning models.
Expert Syst. Appl., 2015

Clustering and visualization of failure modes using an evolving tree.
Expert Syst. Appl., 2015

Enhancing medical named entity recognition with an extended segment representation technique.
Computer Methods and Programs in Biomedicine, 2015

An improved consensus-based group decision making model with heterogeneous information.
Appl. Soft Comput., 2015

A modified fuzzy min-max neural network for data clustering and its application to power quality monitoring.
Appl. Soft Comput., 2015

Intelligent facial emotion recognition using a layered encoding cascade optimization model.
Appl. Soft Comput., 2015

A new fuzzy peer assessment methodology for cooperative learning of students.
Appl. Soft Comput., 2015

A multi-objective evolutionary algorithm-based decision support system: A case study on job-shop scheduling in manufacturing.
Proceedings of the Annual IEEE Systems Conference, 2015

Enhancement of Medical Named Entity Recognition Using Graph-Based Features.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

Statistical Modelling of Artificial Neural Network for Sorting Temporally Synchronous Spikes.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Dynamical Analysis of Neural Networks with Time-Varying Delays Using the LMI Approach.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014
Online Motor Fault Detection and Diagnosis Using a Hybrid FMM-CART Model.
IEEE Trans. Neural Netw. Learning Syst., 2014

A genetic fuzzy system to model pedestrian walking path in a built environment.
Simulation Modelling Practice and Theory, 2014

Segmentation of gray scale image based on intuitionistic fuzzy sets constructed from several membership functions.
Pattern Recognition, 2014

Transfer learning using the online Fuzzy Min-Max neural network.
Neural Computing and Applications, 2014

A novel trust measurement method based on certified belief in strength for a multi-agent classifier system.
Neural Computing and Applications, 2014

A review of online learning in supervised neural networks.
Neural Computing and Applications, 2014

A two-stage dynamic group decision making method for processing ordinal information.
Knowl.-Based Syst., 2014

A new method for deriving priority weights by extracting consistent numerical-valued matrices from interval-valued fuzzy judgement matrix.
Inf. Sci., 2014

A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models.
Neurocomputing, 2014

Advances in bio-inspired computing: Techniques and applications.
Neurocomputing, 2014

Condition monitoring of induction motors: A review and an application of an ensemble of hybrid intelligent models.
Expert Syst. Appl., 2014

A hybrid intelligent system for medical data classification.
Expert Syst. Appl., 2014

Prediction of pedestrians routes within a built environment in normal conditions.
Expert Syst. Appl., 2014

Inclusion of environmental effects in steering behaviour modelling using fuzzy logic.
Expert Syst. Appl., 2014

A modified Intelligent Water Drops algorithm and its application to optimization problems.
Expert Syst. Appl., 2014

A hybrid model for named entity recognition using unstructured medical text.
Proceedings of the 9th International Conference on System of Systems Engineering, 2014

Data Clustering Using a Modified Fuzzy Min-Max Neural Network.
Proceedings of the Soft Computing Applications, 2014

A hybrid FMM-CART model for human activity recognition.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Classification ensemble to improve medical Named Entity Recognition.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

An Online Transfer Learning RBF Neural Network for Cross Domain Data Classification.
Proceedings of the Smart Digital Futures 2014, 2014

Mini-Micro Unmanned Aerial Vehicle Intelligence: A Threat to Land Vehicles.
Proceedings of the Smart Digital Futures 2014, 2014

Condition Monitoring of Broken Rotor Bars Using a Hybrid FMM-GA Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

Transfer Learning Using the Online FMM Model.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A New Application of an Evolving Tree to Failure Mode and Effect Analysis Methodology.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

A hybrid weighted aggregation method based on consistency and consensus in group decision making.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A new monotonicity index for fuzzy rule-based systems.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A new interval-based method for handling non-monotonic information.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A new fuzzy ratio and its application to the single input rule modules connected fuzzy inference system.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

Building fuzzy inference systems with similarity reasoning: NSGAII-based fuzzy rule selection and evidential functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A new fuzzy ranking method using fuzzy preference relations.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

2013
Application of the fuzzy min-max neural network to fault detection and diagnosis of induction motors.
Neural Computing and Applications, 2013

A Modified micro Genetic Algorithm for undertaking Multi-Objective Optimization Problems.
Journal of Intelligent and Fuzzy Systems, 2013

Special issue recent advances in soft computing: Theories and applications.
Journal of Intelligent and Fuzzy Systems, 2013

Special issue: Computational intelligence models for image processing and information reasoning.
Journal of Intelligent and Fuzzy Systems, 2013

Offline and online fault detection and diagnosis of induction motors using a hybrid soft computing model.
Appl. Soft Comput., 2013

Video Driven Traffic Modelling in Paramics.
Proceedings of the 15th International Conference on Computer Modelling and Simulation, 2013

Formulation and Simulation of a 3D Mechanical Model of Embryos for Microinjection.
Proceedings of the IEEE International Conference on Systems, 2013

Spike Sorting Using Hidden Markov Models.
Proceedings of the Neural Information Processing - 20th International Conference, 2013

Interval-based and fuzzy set-based approaches to modeling of fuzzy inference systems with the local monotonicity property.
Proceedings of the FUZZ-IEEE 2013, 2013

A new framework with Similarity Reasoning and monotone fuzzy rule relabeling for Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013

A new online updating framework for constructing monotonicity-preserving Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2013, 2013

Enhancing an Evolving Tree-based text document visualization model with Fuzzy c-Means clustering.
Proceedings of the FUZZ-IEEE 2013, 2013

A new Dempster-Shafer Theory-based method with fuzzy targets for Fuzzy Sets ranking.
Proceedings of the FUZZ-IEEE 2013, 2013

A Hybrid PSO-FSVM Model and Its Application to Imbalanced Classification of Mammograms.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

Intelligent Water Drops Algorithm for Rough Set Feature Selection.
Proceedings of the Intelligent Information and Database Systems - 5th Asian Conference, 2013

2012
Fault Detection and Diagnosis of Induction Motors Using Motor Current Signature Analysis and a Hybrid FMM-CART Model.
IEEE Trans. Neural Netw. Learning Syst., 2012

Special Issue on "Intelligent Information Processing: Techniques and Applications".
KES Journal, 2012

A non-linear programming-based similarity reasoning scheme for modelling of monotonicity-preserving multi-input fuzzy inference systems.
Journal of Intelligent and Fuzzy Systems, 2012

Detection and Diagnosis of Broken Rotor Bars in Induction Motors Using the Fuzzy Min-Max Neural Network.
IJNCR, 2012

Application of Particle Swarm Optimization to uniform and variable strength covering array construction.
Appl. Soft Comput., 2012

A monotonicity index for the monotone fuzzy modeling problem.
Proceedings of the FUZZ-IEEE 2012, 2012

Building monotonicity-preserving Fuzzy Inference models with optimization-based similarity reasoning and a monotonicity index.
Proceedings of the FUZZ-IEEE 2012, 2012

2011
Improved GART Neural Network Model for Pattern Classification and Rule Extraction With Application to Power Systems.
IEEE Trans. Neural Networks, 2011

Integration of supervised ART-based neural networks with a hybrid genetic algorithm.
Soft Comput., 2011

A neural network-based multi-agent classifier system with a Bayesian formalism for trust measurement.
Soft Comput., 2011

Fuzzy ARTMAP and hybrid evolutionary programming for pattern classification.
Journal of Intelligent and Fuzzy Systems, 2011

On Monotonic sufficient conditions of Fuzzy Inference Systems and their Applications.
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, 2011

A Multi-Objective Sensitivity Approach to Training Providers' Evaluation and quota Allocation Planning.
International Journal of Information Technology and Decision Making, 2011

A fuzzy inference system-based criterion-referenced assessment model.
Expert Syst. Appl., 2011

Reinforcement learning of competitive and cooperative skills in soccer agents.
Appl. Soft Comput., 2011

A Modified Two-Stage SVM-RFE Model for Cancer Classification Using Microarray Data.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

A Hybrid FMM-CART Model for Fault Detection and Diagnosis of Induction Motors.
Proceedings of the Neural Information Processing - 18th International Conference, 2011

Optimization of Gaussian fuzzy membership functions and evaluation of the monotonicity property of Fuzzy Inference Systems.
Proceedings of the FUZZ-IEEE 2011, 2011

An evolutionary-based similarity reasoning scheme for monotonic multi-input fuzzy inference systems.
Proceedings of the FUZZ-IEEE 2011, 2011

A Hybrid Neural Classifier for Dimensionality Reduction and Data Visualization and Its Application to Fault Detection and Classification of Induction Motors.
Proceedings of the Sixth International Conference on Bio-Inspired Computing: Theories and Applications, 2011

2010
A Role-Based Cognitive Architecture for Multi-Agent Teaming.
Proceedings of the Agent and Multi-agent Technology for Internet and Enterprise Systems, 2010

A Modified Fuzzy Min-Max Neural Network With a Genetic-Algorithm-Based Rule Extractor for Pattern Classification.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2010

A Layered-Encoding Cascade Optimization Approach to Product-Mix Planning in High-Mix-Low-Volume Manufacturing.
IEEE Trans. Systems, Man, and Cybernetics, Part A, 2010

Evolutionary Fuzzy ARTMAP Neural Networks and their Applications to Fault Detection and Diagnosis.
Neural Processing Letters, 2010

A novel Euclidean quality threshold ARTMAP network and its application to pattern classification.
Neural Computing and Applications, 2010

An enhanced generalized adaptive resonance theory neural network and its application to medical pattern classification.
Journal of Intelligent and Fuzzy Systems, 2010

Feature extraction and classification of metal detector signals using the wavelet transform and the fuzzy ARTMAP neural network.
Journal of Intelligent and Fuzzy Systems, 2010

Enhancing the Failure Mode and Effect Analysis methodology with fuzzy inference techniques.
Journal of Intelligent and Fuzzy Systems, 2010

Special Issue: Knowledge-based intelligent systems and their applications.
Journal of Intelligent and Fuzzy Systems, 2010

Design and application of neural networks and intelligent learning systems.
Neurocomputing, 2010

Use of the circle segments visualization technique for neural network feature selection and analysis.
Neurocomputing, 2010

A Computer-Aided Detection System for Automatic Mammography Mass Identification.
Proceedings of the Neural Information Processing. Models and Applications, 2010

Enhancing Fuzzy Inference System Based Criterion-Referenced Assessment With An Application.
Proceedings of the European Conference on Modelling and Simulation, 2010

2009
A Multi-resolution GA-PSO Layered Encoding Cascade Optimization Model.
Proceedings of the Innovations in Swarm Intelligence, 2009

Advances in Swarm Intelligence.
Proceedings of the Innovations in Swarm Intelligence, 2009

An online pruning strategy for supervised ARTMAP-based neural networks.
Neural Computing and Applications, 2009

Theoretical advances and applications of intelligent paradigms.
Journal of Intelligent and Fuzzy Systems, 2009

A neural network-based multi-agent classifier system.
Neurocomputing, 2009

Special issue on intelligent knowledge processing and decision making techniques.
Intelligent Decision Technologies, 2009

Fuzzy ARTMAP and a Hybrid Chaos Genetic Algorithm for Medical Pattern Classification.
Austr. J. Intelligent Information Processing Systems, 2009

An Evolutionary Artificial Neural Network for Medical Pattern Classification.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

Improving the Performance of Fuzzy ARTMAP with Hybrid Evolutionary Programming: An Experimental Study.
Proceedings of the Neural Information Processing, 16th International Conference, 2009

On the use of fuzzy rule interpolation techniques for monotonic multi-input fuzzy rule base models.
Proceedings of the FUZZ-IEEE 2009, 2009

2008
An Introduction to Computational Intelligence Paradigms.
Proceedings of the Computational Intelligence Paradigms, Innovative Applications, 2008

A Hybrid ART-GRNN Online Learning Neural Network With a varepsilon -Insensitive Loss Function.
IEEE Trans. Neural Networks, 2008

A hybrid neural network classifier combining ordered fuzzy ARTMAP and the dynamic decay adjustment algorithm.
Soft Comput., 2008

An Artificial Neural Network Classifier Design Based-on Variable Kernel and Non-Parametric Density Estimation.
Neural Processing Letters, 2008

Recent advances in intelligent paradigms fusion and their applications.
Int. J. Hybrid Intell. Syst., 2008

On the use of fuzzy inference techniques in assessment models: part II: industrial applications.
FO & DM, 2008

On the use of fuzzy inference techniques in assessment models: part I - theoretical properties.
FO & DM, 2008

Guest Editorial: Special issue on advances in computational intelligence paradigms and applications.
FO & DM, 2008

Fuzzy ARTMAP dynamic decay adjustment: An improved fuzzy ARTMAP model with a conflict resolving facility.
Appl. Soft Comput., 2008

A modified fuzzy min-max neural network with rule extraction and its application to fault detection and classification.
Appl. Soft Comput., 2008

Application of the Fuzzy Min-Max Neural Networks to Medical Diagnosis.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2008

Robust modular ARTMAP for multi-class shape recognition.
Proceedings of the International Joint Conference on Neural Networks, 2008

An interactive genetic algorithm approach to MMIC low noise amplifier design using a layered encoding structure.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Introduction to Evolutionary Computing in System Design.
Proceedings of the Advances in Evolutionary Computing for System Design, 2007

Intelligent Machines: An Introduction.
Proceedings of the Innovations in Intelligent Machines - 1, 2007

Text-dependent Speaker Recognition using Wavelets and Neural Networks.
Soft Comput., 2007

A hybrid neural network model for rule generation and its application to process fault detection and diagnosis.
Eng. Appl. of AI, 2007

A Mutation-Based Evolving Neural Network Model and Its Application to Condition Monitoring.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

Keystroke Patterns Classification Using the ARTMAP-FD Neural Network.
Proceedings of the 3rd International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2007), 2007

Use of Circle-Segments as a Data Visualization Technique for Feature Selection in Pattern Classification.
Proceedings of the Neural Information Processing, 14th International Conference, 2007

2006
Monitoring the Formation of Kernel-Based Topographic Maps in a Hybrid SOM-kMER Model.
IEEE Trans. Neural Networks, 2006

On the reduction of complexity in the architecture of fuzzy ARTMAP with dynamic decay adjustment.
Neurocomputing, 2006

Dimensionality Reduction of Protein Mass Spectrometry Data Using Random Projection.
Proceedings of the Neural Information Processing, 13th International Conference, 2006

2005
A Hybrid Neural Network System for Pattern Classification Tasks with Missing Features.
IEEE Trans. Pattern Anal. Mach. Intell., 2005

Application of the Gaussian mixture model to drug dissolution profiles prediction.
Neural Computing and Applications, 2005

Application of fuzzy ARTMAP and fuzzy c-means clustering to pattern classification with incomplete data.
Neural Computing and Applications, 2005

Application of a Neural Fuzzy System with Rule Extraction to Fault Detection and Diagnosis.
J. Intelligent Manufacturing, 2005

A hybrid SOM-kMER model for data visualization and classification .
Int. J. Hybrid Intell. Syst., 2005

2004
A hybrid neural network model for noisy data regression.
IEEE Trans. Systems, Man, and Cybernetics, Part B, 2004

Fusion of GRNN and FA for Online Noisy Data Regression.
Neural Processing Letters, 2004

Application of Fuzzy Inference Techniques to FMEA.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

An Adaptive Fuzzy Min-Max Conflict-Resolving Classifier.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Boosting the Performance of the Fuzzy Min-Max Neural Network in Pattern Classification Tasks.
Proceedings of the Applied Soft Computing Technologies: The Challenge of Complexity, Proceedings of the 9th Online World Conference on Soft Computing in Industrial Applications (WSC9), September 20th, 2004

Fault Detection and Diagnosis Using the Fuzzy Min-Max Neural Network with Rule Extraction.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2004

2003
Online pattern classification with multiple neural network systems: an experimental study.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2003

Predicting drug dissolution profiles with an ensemble of boosted neural networks: a time series approach.
IEEE Trans. Neural Networks, 2003

On Operating Strategies of the Fuzzy Artmap Neural Network: A Comparative Study.
International Journal of Computational Intelligence and Applications, 2003

An ART-Based Hybrid Network for Medical Pattern Classification Tasks with Missing Data.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2003

2002
Application of a Recurrent Neural Network to Prediction of Drug Dissolution Profiles.
Neural Computing and Applications, 2002

2001
Prediction of Drug Dissolution Profiles Using Artificial Neural Networks.
International Journal of Computational Intelligence and Applications, 2001

2000
Speech Recognition Using Artificial Neural Networks.
Proceedings of the WISE 2000, 2000

1999
Combination of decisions from a multiple neural network classifier system.
Proceedings of the Third International Conference on Knowledge-Based Intelligent Information Engineering Systems, 1999

1997
An Incremental Adaptive Network for On-line Supervised Learning and Probability Estimation.
Neural Networks, 1997

Modified Fuzzy ARTMAP Approaches Bayes Optimal Classification Rates: An Empirical Demonstration.
Neural Networks, 1997

Application of autonomous neural network systems to medical pattern classification tasks.
Artificial Intelligence in Medicine, 1997

1996
Autonomous neural network systems for pattern classification.
PhD thesis, 1996

1995
Minimal Error Rate Classification in a Non-stationary Environment via a Modified Fuzzy ARTMAP Network.
Proceedings of the Artificial Neural Nets and Genetic Algorithms, 1995


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